在中国牛肉4个产区吉林省榆树市、贵州省安顺市、宁夏自治区同心县、河北省张北县屠宰场采集了58个肉牛牛肉样品,进行脱脂、干燥、粉碎。利用近红外光谱分析技术,对牛肉样品的近红外光谱进行主成分分析、聚类分析、判别分析,建立了判别牛肉产地来源的傅里叶变换红外光谱定性分析模型。分析结果显示4个产区的牛肉的平均近红外光谱存在有差异,牛肉样品的主成分空间分布也位于不同的区域。根据光谱距离,对样品进行聚类分析,初步判定了牛肉的产区,其中贵州的牛肉光谱比较复杂,与河北牛肉样品的光谱距离很近,存在一定交叉。利用来源于4个产区的18个独立样品对模型进行了验证,正确识别率为100％。说明应用近红外光谱分析技术可准确、快速、低廉地追溯牛肉的产地来源。

The aim of the present study was to investigate the feasibility of tracing the geographical origin of beef with FT-NIR spectroscopy,set up the model for identifying the beef geographical origin,and validate the rate of discrimination.Fifty eight de-fatted beef samples from Jilin,Guizhou,Ningxia,and Hebei in China were dried and milled.Based on the NIR spectra of the pre-processing beef,the samples were subjected to principal component analysis (PCA),cluster analysis (CA),discriminant analysis (DA),and a qualitative model was established to do discriminant analysis and validated.The results showed that there were some differences in NIR spectra from different geographical origins,and the element contents in the beef samples were different from different locations.According to the Euclidean distance of NIR spectra,the geographical origin can be identified by cluster analysis.The distance of spectra is the shortest between the samples from Guizhou and Hebei province.Meanwhile there is a certain crossover.This model calibrated by 40 samples was used to predict the varieties of 18 unknown beef samples.The recognition rate of 100% was achieved.So applying FT-NIR fingerprint spectroscopy to trace geographical origin of beef is accurate,rapid and low-cost.